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Programming languages

R
Git/GitHub
Bash
Nextflow
docker
Python

Disclaimer

The long-form version of my CV, with a list of conferences attended, teaching experience and voluntary work is available here.

Made with the R packages datadrivencv and pagedown.

The source code is available GitHub.

Last updated on 2023-09-09.

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Regina H Reynolds

Molecular biologist turned bioinformatician, with a passion for systems-level biology, statistics and data visualisation and the application of these to answer biological questions. My current work explores the role of different cell types in neurodegeneration, making use of large-scale genomic and transcriptomic datasets.

Work experience

Lead Bioinformatician

CoSyne Therapeutics

London, UK

Present - 2022

  • Co-lead of a 4-member team overseeing company-wide bioinformatic analyses across several omics areas applied to drug discovery in glioblastoma multiforme. Influenced strategic decisions on transcriptomics, functional genomic screens and whole genome sequencing.
  • Involved in establishing and maintaining robust bioinformatic infrastructure, end-to-end analysis pipelines and coding practices.
  • Involved in recruitment efforts for roles in bioinformatics, machine learning, and software engineering.

Research Fellow

University College London

London, UK

2022 - 2021

  • Lead analyst involved in processing and analysing transcriptomic data generated with the aim of identifying molecular signatures of Parkinson’s disease progression. Work done primarily using R, nextflow and docker.
  • Co-lead of Code and Pipeline Alignment Working Group in the Aligning Sciences Across Parkinson’s initiative. This group aimed to maximize the value of data generated from finite post-mortem brain tissues through code alignment, which would enable eventual meta-analysis.
  • Published 1 co-first author research article.

Research Assistant

University of Copenhagen

Copenhagen, Denmark

2016 - 2016

  • Led project exploring the interactions between miR-34a, Sirt1 and p53 in a Huntington’s disease mouse model, which culminated in a first author publication.

Education

PhD, Bioinformatics

University College London

London, UK

2021 - 2016

  • Thesis: Exploring the importance of cell-type-specific gene expression regulation and splicing in Parkinson’s disease
  • Integrated bulk-tissue and single-cell transcriptomic data with summary-level genetic association data to investigate the role of cell-type-specific gene expression regulation and splicing in Parkinson’s disease.
  • Published 3 first/co-first author research articles and 1 first author review.
  • Successfully secured £10,000 from Signe og Peter Gregersens Mindefond to undertake transcriptional profiling of Parkinson’s disease brain tissue.

MSc, Molecular Biomedicine

University of Copenhagen

Copenhagen, Denmark

2016 - 2014

  • Thesis: Changes in the miR-34a-SIRT1 axis in Huntington’s disease
  • Grade: A (92.5%)

BSc, Molecular Biomedicine

University of Copenhagen

Copenhagen, Denmark

2013 - 2010

  • Thesis: Pro-apoptotic factors in Huntington’s disease: a study in the R6/2 transgenic mouse model
  • Grade: A (96.7%)

Key publications

A full list of publications is available online at https://rhreynolds.github.io/cv

Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases

NPJ Parkinson’s disease

N/A

2023

  • Reynolds, RH, Wagen, AZ, Lona-Durazo, F, Scholz, SW, Shoai, M, Hardy, J, Gagliano Taliun, SA, Ryten, M
  • Role: Co-first author, lead analyst and corresponding author.
  • Analysis of local genetic correlations between neurodegenerative and neuropsychiatric disorders, with the aim of identifying genomic regions and genes that may drive pleiotropy.

Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body disorders

Acta Neuropathologica

N/A

2021

  • Feleke, R, Reynolds, RH, Smith, A, Tilley, B, Gagliano Taliun, SA, Hardy, J, Matthews, PM, Gentleman, S, Owen , D, Johnson, MR, Srivastava, P, Ryten, M
  • Role: Co-first author and analyst.
  • Transcriptomic analysis of cell-type-specific changes in the Lewy body diseases.

Informing disease modelling with brain-relevant functional genomic annotations

Brain

N/A

2019

  • Reynolds, RH, Hardy, J, Ryten, M, Gagliano Taliun, SA
  • Role: First author.
  • Review of conceptual advances in the generation of brain-relevant functional genomic annotations and among tools that allow integration of these annotations with genome-wide association summary statistics.

Moving beyond neurons: the Role of cell type-specific gene regulation in Parkinson’s disease heritability

NPJ Parkinson’s disease

N/A

2019

  • Reynolds, RH, Botía, JA, Nalls, MA, International Parkinson’s Disease Genomic Consortium (IPDGC), System Genomics of Parkinson’s Disease (SGPD), Hardy, J, Gagliano Taliun, SA, Ryten, M
  • Role: First author and lead analyst.
  • Analysis of Parkinson’s disease common variation, with the aim of identifying cell types and pathways of importance to disease risk.